#MCP
506 related articles
AI Gateway vs. MCP Gateway: How to Define the Boundary Between Two Architectural Layers
Should you use an AI Gateway or MCP Gateway when running multiple Agents and MCP servers? This article breaks down responsibility boundaries, tool selection trade-offs, and log observability for Agent infrastructure.
The Three Pillars of AI Agents in Practice: Building an End-to-End NDA Automation Workflow
A hands-on tutorial breaking down the three core pillars of AI agents (Brain, Tools, Permissions) and showing how to build an NDA automation workflow using Claude, Agent SDK, and DocuSign MCP.
Cartograph: A Federated Proxy Approach to Reimagining Tool Discovery for AI Agents
Cartograph is a federated MCP proxy that reduces AI agent tool discovery from O(n) to O(k) using signed capability cards, Rift confusion clustering, and two-stage retrieval — cutting tokens from 42,450 to 475 with R@5 of 0.816.
MCP Architectural Mediation: Enabling LLM Agents to Securely Access Data Spaces
A new arXiv paper proposes an MCP-based architectural mediation approach using the Eunomia Agent, enabling LLM agents to securely access governed Data Spaces while maintaining compliance and interoperability.
Executor: A Unified MCP Proxy Layer for Managing Multiple Coding Agents
Executor is an open-source unified MCP proxy layer that centralizes authentication, API keys, and permissions across multiple Coding Agents like Claude Code and Codex.
What Is an MCP Server? From Zero to Production-Grade Deployment
What is an MCP server? This guide explains how the Model Context Protocol works, builds tools with Python and FastMCP, and covers remote deployment with OAuth 2.1 authentication for production use.
MCP from Zero to One: How AI Safely Integrates with Existing Service Ecosystems
From Function Calling to MCP and MCP Gateway: a complete beginner's guide. Learn why MCP was once declared dead and how it returned as the enterprise AI standard for secure credential management and permission control.
What Exactly Is an MCP Server? A Complete Guide from Fundamentals to Production
A complete guide to MCP servers: from why language models need tools, to building with Python and fastmcp, to OAuth authentication for remote deployment — covering the auth layer most tutorials skip.
Hemory: Building a Searchable Voice Memory Library for AI Agents
Hemory is a Product Hunt #1 AI app that passively records daily conversations on your phone or Apple Watch, auto-segments them into searchable memories, and connects to Claude and Cursor via MCP.
Vercel AI SDK Releases @ai-sdk/mcp Patch: Fixes stdio Transport Environment Variable Issue
Vercel AI SDK releases @ai-sdk/mcp@1.0.86, fixing a bug where explicit environment variables were lost during MCP stdio transport. Learn what changed and who should upgrade.
The Truth About AI Agents: The Model Is Only 20% — The Other 80% Is What Really Matters
What is an AI agent? This article breaks down the model, Harness, MCP, skills, sandbox, and production layer — revealing why the model is only 20%, and the surrounding engineering is 80%.
Building an MCP Server from Scratch: A Hands-On Tutorial for Claude Tool Calling
A step-by-step guide to building an MCP server from scratch using a calculator tool, covering tool schema definition, error handling, agentic loop design, and three practical test scenarios.
Getting Started with MCP: The Protocol That Lets LLMs Connect to External Tools
MCP (Model Context Protocol) is the standard that lets LLMs connect to external tools. Learn why it exists, how it works, and its role in Agent development.
Floot MCP: Build and Deploy Full-Stack Apps Directly Inside Claude and ChatGPT
Floot MCP connects to Claude and ChatGPT via MCP, letting you build and publish full-stack apps in chat — with built-in database, auth, hosting, and no extra AI usage fees.
Hookest: Turning Viral Video Hooks Into a Searchable Swipe File
Hookest is a searchable swipe file tracking viral hooks from TikTok, Reels & Shorts, with real performance data and MCP integration for Claude, ChatGPT & Gemini.
OpenPencil MCP in Practice: Let AI Agents Read and Edit Design Files Directly
OpenPencil is an MIT-licensed open-source design tool. One command connects it to MCP, letting AI Agents read and edit local design files directly. Full walkthrough: setup, Claude Code, Cursor, and a five-step workflow.
Four Ways MCP Authorization Breaks Down in Production
MCP authorization often fails in production not due to spec gaps, but implementation shortcuts. We break down four recurring failure patterns: token validation, scope checks, trust boundaries, and context propagation.
After Deleting the MCP Server: Who's Ignoring the AI Agent Authorization Problem?
MCP server critics focus on ergonomics but ignore authorization security. Removing MCP reverts agents to dangerous long-lived shell keys. Here's what must exist before direct API access can be a safe default.
All in One ChatGPT Window: Testing Astra + Higgsfield for AI Video Generation
Testing Astra + Higgsfield via MCP in a single ChatGPT window: three cases (product ad, apartment walkthrough, short film) show how AI Agents can plan, generate, review, and fix — turning users from operators into directors.
Cherry Studio + MCP in Practice: Building a Local Knowledge Base and Automated AI Agents
Learn how to use Cherry Studio with MCP and Ollama to build automated AI agents and a local knowledge base — covering DeepSeek setup, UV/Bun, Function Calling limits, and web scraping.